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BaseEstimator — scikit-learn 1.8.0 documentation
array ([ 1 , 0 , 1 ]) >>> estimator . fit ( X ,...__init__ ( self , * , param = 1 ): ... self . param = param ......scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html -
LassoCV — scikit-learn 1.8.0 documentation
since version 1.7: n_alphas was deprecated in 1.7 and will be...since version 1.7: alphas=None was deprecated in 1.7 and will be...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html -
ElasticNet — scikit-learn 1.8.0 documentation
l1_ratio = 1 it is an L1 penalty. For 0 < l1_ratio < 1 , the penalty...intercept_ ) 1.451 >>> print ( regr . predict ([[ 0 , 0 ]])) [1.451]...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html -
indexable — scikit-learn 1.8.0 documentation
[ 1 , 2 , 3 ], np . array ([ 2 , 3...>>> indexable ( * iterables ) [[1, 2, 3], array([2, 3, 4]), None,...scikit-learn.org/stable/modules/generated/sklearn.utils.indexable.html -
IncrementalPCA — scikit-learn 1.8.0 documentation
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], ... [ 1 , 1 ], [...principal components, versus 1 large SVD of complexity O(n_samples...scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html -
d2_pinball_score — scikit-learn 1.8.0 documenta...
Added in version 1.1. Parameters : y_true array-like...d2_pinball_score >>> y_true = [ 1 , 2 , 3 ] >>> y_pred = [ 1 , 3 , 3 ] >>> d2_pinball_score...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_pinball_score.html -
AdaBoostClassifier — scikit-learn 1.8.0 documen...
initialized with max_depth=1 . Added in version 1.2: base_estimator was...the range [1, inf) . learning_rate float, default=1.0 Weight applied...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html -
lars_path — scikit-learn 1.8.0 documentation
the case method=’lasso’ is: ( 1 / ( 2 * n_samples )) * || y -...equation (see discussion in [1] ). Read more in the User Guide...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path.html -
gen_even_slices — scikit-learn 1.8.0 documentation
1, None), slice(1, 2, None), ..., slice(9,...list ( gen_even_slices ( 10 , 1 )) [slice(0, 10, None)] >>> list...scikit-learn.org/stable/modules/generated/sklearn.utils.gen_even_slices.html -
mean_squared_log_error — scikit-learn 1.8.0 doc...
1 ], [ 1 , 2 ], [ 7 , 6 ]] >>> y_pred...y_pred = [[ 0.5 , 2 ], [ 1 , 2.5 ], [ 8 , 8 ]] >>> mean_squared_log_error...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_log_error.html